Search results

Reports on an investigation of computer‐based support for developing marketing strategy. First, on the basis of a literature study, the nature of marketing strategy development is clarified. The needs for computer‐based support are identified. The status and underlying problems of existing computer‐based information systems for developing marketing strategy are then examined. Finally, a mail questionnaire survey on computer‐based support for developing marketing strategy is discussed. The major issues addressed in the survey were: managers’ needs for computer‐based support in developing marketing strategy; the current provision of computer‐based information systems; and the gaps between the identified needs and current provision. It is believed that this was the first study to use a large‐scale questionnaire survey to explore these issues. The findings provide important evidence and implications for both researchers and designers of computer‐based support for marketing strategy development.

In the last five years, there has been an increased interest across the globe, and in the United Kingdom in particular, to define, conceptualise and measure learning gains. The concept of learning gains, briefly summarised as the improvement in knowledge, skills, work-readiness and personal development made by students during their time spent in higher education, has been hailed by some as an opportunity to measure ‘excellence’ in teaching. This chapter will review some of the common definitions and the methods employed in research on learning gains. Secondly, we will provide a critical evaluation of the computational aspects of learning gains (e.g., raw gain, normalised gain). Finally, we will critically reflect upon the lessons learnt and what is not yet known in terms of learning gains.

The pervasive spread of digital technologies brought an incredible boost in data availability. Companies are dealing with massive amount of data that wait to be exploited. At the same time, scholars are providing different strategies and methods to help companies capture the value embedded in their data to foster innovation and improve the efficiency of existing processes. In these research studies, data are the by-product of something else, and they are a silent asset that needs to be exploited. What if data might be considered the final goal? The paper aims to discuss these issues.

The research is based on an exploratory multiple case study analysis, on the basis of three cases used as an illustration for new ideas. In particular, the gathered data are analyzed according to models previously presented in the literature review, building on and expanding them.

The research proposes a data-driven approach to innovation, offering a peculiar view of the innovation process. The trigger point is the need of data that let begin the entire development process of a complex system. In this perspective, the application that data are a by-product of the entire innovation process and not the primary output is peculiar since the vast majority of the literature consider data as the by-product of the primary product.

Future research is needed to assess the replicability of the model outside the mobile app industry and to measure its performances. Nevertheless, this paper provides insights both for scholars and managers, enlarging the discussion on digital innovation and digital business models.

The results provide a development process to foster innovation relying on the need of data as the trigger point, guiding entrepreneurs and managers in the building process of the entire digital system.

Previous research studies often considered Big Data (BD) in innovation as a way to enlarge the current product offer or to make the innovation process more effective or efficient; this paper changes the perspective by considering BD as the trigger and the enabler of the entire digital innovation process.

Reports on computer innovation in companies suggest that, in general, awareness lags behind application, and that there is considerable variation between functional areas. Why this should be is considered and five key factors are focused on which suggest that different specialisms lack awareness for different reasons. It is concluded that all managers must move from “ignorance” to “omniscience”.

The purpose of this paper is to explore the concept of serendipity and approaches to its study particularly in relation to information studies.

The origins of the term serendipity are described and its elaboration as an exploratory and explanatory concept in science and the social sciences are outlined. The distinction between serendipity and serendipity pattern is explained and theoretical and empirical studies of both serendipity and the serendipity patterns are explored. The relationship between information encountering is described. Empirical studies of serendipity using Citation Classics and other research approaches in information studies are described.

The discrepancy between occurrences of serendipity in studies using Citation Classics and reported serendipity in philosophy of science, research anecdotes, information encountering and information seeking by inter-disciplinary researchers is highlighted. A comparison between a process model of serendipity and serendipity as an emergent behavioural characteristic are indicates directions for future research.

The paper provides and original synthesis of the theoretical and empirical literature on serendipity with particular reference to work in information studies and an indication of the methodological difficulties involved in its study.

Little is known about why children participate in activities that are labeled worst forms of child labor (WFCL). Case–control approaches common in medicine are adapted to consider the correlates of participation in worst forms in the context of two WFCL in Nepal: portering and ragpicking. Paternal disability is a strong predictor of entry into each of the worst forms, and the presence of productive assets within the child's home reduces the risk a child is observed in a worst form. We argue that our findings are consistent with a model where there are negative amenities associated with these jobs that induce the poor and those with the fewest alternative earnings options to select into these WFCL in Nepal.

A Study in Organisation. Under the non‐committal title “Construction of Esso Refinery, Fawley; A Study in Organisation”, A. P. Gray and Mark Abrams tell the story of how this vast £37½ million venture was constructed in little more than two years—thanks to outstandingly efficient management both at the planning and construction stages.

Investigates the industrial location decision behaviour of firms. The behaviour was determined by an examination of the firms′ attitudes measured on “location variables”. Firms representing various countries that actually located in an international industrial park and those that considered but did not locate in the park, provided a sample frame for the study. Three models were developed from the data that supplement or complement traditional approaches to industrial location analysis. The models provide a method for management of an existing industrial site to develop an appropriate marketing strategy for the target firms, and to plan modifications based on firms′ attitudes. For those considering the construction or alteration of an industrial site the models can provide additional insight into the planning and development of the facilities.

Examines a study carried out on three large Swedish firms examining the effects of education, experience and the environment on ways in which decisions are made. Studies, in particular, purchasing behaviour in an international context with the central theme and analysis of how purchasers evaluate suppliers located in different countries. Acknowledges, surprisingly, both knowledge of foreign language and experience of foreign countries seemed to be unimportant. Concludes that the results are on a tentative level requiring further research.